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New Mplus paper: Advances in Bayesian Model Fit Evaluation for Structural Equation Models. Submitted for publication.

Time series analysis of intensive longitudinal data using residual dynamic structural equation modeling (Asparouhov, Hamaker, & Muthén, 2018; Asparouhov & Muthén, 2018a, (Download scripts); Asparouhov & Muthén, 2018b, (Download scripts))

Automatic reordering of latent classes for mixture models
Bayes estimation for count, nominal, and binary variables using a logit link for both real data analysis and Monte Carlo simulation studies for single-level, two-level, and mixture models with a single categorical latent variable.

New IRT models: 3PL, 4PL, and Partial Credit Models
Bootstrap extensions: Bootstrap standard errors for standardized coefficients, bootstrap confidence intervals for standardized coefficients, and bootstrap for internal and external Monte Carlo simulation studies
R-square and standardized coefficients for models with latent variable interactions using XWITH (Muthén & Asparouhov, 2015)
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